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How Open Data becomes Economic Value
Andrew Stott
IODC Ottawa
29 May 2015 v0.1
@dirdigeng
andrew.stott@dirdigeng.com
The Size of the Potential Prize
2
Possible Benefits of Open Data
3
Date Study Total
(%GDP)
2013 McKinsey 4.1
2011 EC 1.5
2014 Lateral Economics 1.1
2013 Shakespeare 0.4
Normalised using IMF, World Bank and OECD data
European Commission/POPSIS/Deloitte
Open Data was reused 10x-100x
Value-added increased 5x-10x
New types of re-users, in particular SMEs.
Costs increase very little in relative terms
4
Why is Open Data beneficial?
5
New Data-Driven Services for customer choice
6
estate
agents/
realtors
Financial
services
builders and
other local
services
Optimisation of Operations
7
Data-driven decisions
8
Where does the benefit occur?
9
Personal Private Public
Better customer
decisions
40%
Better matching 3% 3% 1%
Better procurement 6%
Data-driven decisions 8% 3% 2%
Optimisation of
operations
19% 16%
Derived from McKinsey report
What are the Open Data
Businesses
10
Application Developers
11
12
2004 2010
Online
publications
Pay per use Free of charge
Downloads 130,300 1,093,000
Premium
Accounts
36 69
Premium
analyses
78,000 EUR 152,000 EUR
Advisory services
Data-driven financial services
13
Aggregators
14
Which data is most valuable or
most widely valuable?
15
Geospatial Reference Data: Maps & Addresses
16
Transport Information
17
Census and other detailed statistics
18
Government Spending and Procurement
19
Weather Data
National Information Infrastructure
21
What makes data more valuable
to business?
22
What data qualities are important to business
Open – free of charge, free of restriction
But also ….
Data availability
Known degree of completeness and accuracy
Consistency – across areas and over time
Sufficiently up to date for use case
Known provenance
Sufficiently fine grained
Confidence in future supply and updates
23Based on work by Harvey Lewis, Deloitte
Thank you
24
25

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